Funded Projects
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Knowledge Management, Transfer, and Learning:
Project homepage: local,
external.
supported by the grant from
DHS-EPA Cooperative Center of Excellence on the Methods and Science to Conduct Microbial Risk Assessment in Support of Homeland Security Objectives.
Investigators : PI: Rosina Weber and Ewen Todd, Co-PIs: Hyoil Han, Michael Atwood, Charles Haas, Drexel University. (Dr. Ewen Todd, Michigan State University)
Institutions: Drexel University 3141 Chestnut street Philadelphia, PA 19104; Center for Food Safety and Toxicology, Michigan State University.
Project Period: Starting on Sep. 15, 2005 and ending on Sep. 14, 2010
Budget: $679,272.
Project Summary:
It is the overall objective of this project to investigate and implement effective and efficient
methods to enhance the understanding of microbial risk assessment (MRA) as a body of
knowledge. For this purpose, we focus on education and collaboration in combination with
technological methods to promote knowledge leveraging, management, transfer and learning
among members of
the Center for Advancing Microbial Risk Assessment (CAMRA). These are
the objectives, approaches, and expected results from this project:
- Build an online collaborative repository. This will be a knowledge repository because it will
use learning units represented as a knowledge formalism. Learning units will specify the task
where they can be reused. The knowledge repository will promote knowledge leveraging and
sharing among CAMRA’s members.
- Reason with learning units for knowledge discovery. The learning units are amenable to
automated reasoning. Reasoning methods can leverage MRA’s knowledge.
- Build a data warehouse from data linked to the learning units. Additional knowledge discovery
methods can be applied over the data warehouse. The data warehouse will be publicly available.
- Develop targeted educational programs.
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Advanced Intelligent System for Generating Electronic Medical Records:
Project homepage: local,
external.
supported by the grant from
CREU: Collaborative Research
Experience for Undergraduates in
Computer Science and Engineering
Investigator: PI: Hyoil Han, Drexel University.
Institution: Drexel University 3141 Chestnut street Philadelphia, PA 19104.
Project Period: Starting on Sep. 1st, 2006 and ending on June 31st, 2007
Participants: Charnette L. Carrington and Christina Robinson (Senior students in College of Information Science and Technology).
Budget: $6000.
Project Summary:
Electronic Medical Records are important to manage health data and save lives to improve the quality of service in hospitals. Clinical medical records contain a wealth of information, largely in free-text form. This project will implement parts of a generic framework to semi-automatically extract and mine data from clinical notes, automatically learn patterns for each physician’s clinical notes, and automatically populate EMR databases for multi-users. The project will help the generation of Electronic Medical Records by concentrating on user modeling for personalization, information extraction from unstructured or semi-structured text and database design/implementation. The working hypotheses are that using information extraction (IE), data mining and user feedback to build each personalized profile from the input text by each physician will improve the automatic generation of Electronic Medical Record.